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  • 1
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    PANGAEA
    In:  Supplement to: Clough, Lisa; Ambrose, William G Jr; Cochran, James R; Barnes, C; Renaud, Paul E; Aller, Robert C (1997): Infaunal density, biomass and bioturbation in the sediments of the Arctic Ocean. Deep Sea Research Part II: Topical Studies in Oceanography, 44(8), 1683-1704, https://doi.org/10.1016/S0967-0645(97)00052-0
    Publication Date: 2023-09-19
    Description: Little is known about the benthic communities of the Arctic Ocean's slope and abyssal plains. Here we report on benthic data collected from box cores along a transect from Alaska to the Barents Abyssal Plain during the Arctic Ocean Section of 1994. We determined: (1) density and biomass of the polychaetes, foraminifera and total infauna; (2) concentrations of potential sources of food (pigment concentration and percent organic carbon) in the sediments; (3) surficial particle mixing depths and rates using downcore 210Pb profiles; and (4) surficial porewater irrigation using NaBr as an inert tracer. Metazoan density and biomass vary by almost three orders of magnitude from the shelf to the deep basins (e.g. 47 403 individuals m**-2 on the Chukchi Shelf to 95 individuals m**-2 in the Barents Abyssal Plain). Water depth is the primary determinant of infaunal density, explaining 39% of the total variability. Potential food concentration varies by almost two orders of magnitude during the late summer season (e.g. the phaeopigment concentration integrated to 10 cm varies from 36.16 mg m**-2 on the Chukchi Shelf to 0.94 mg m**-2 in the Siberia Abyssal Plain) but is not significantly correlated with density or biomass of the metazoa. Most stations show evidence of particle mixing, with mixing limited to 〈=3 cm below the sediment-water interface, and enhanced pore water irrigation occurs at seven of the nine stations examined. Particle mixing depths may be related to metazoan biomass, while enhanced pore water irrigation (beyond what is expected from diffusion alone) appears to be related to total phaeopigment concentration. The data presented here indicate that Arctic benthic ecosystems are quite variable, but all stations sampled contained infauna and most stations had indications of active processing of the sediment by the associated infauna.
    Keywords: ADEPD; ADEPDCruises; AOS94_1; AOS94_12; AOS94_13; AOS94_16; AOS94_17; AOS94_19; AOS94_21; AOS94_23; AOS94_24; AOS94_25; AOS94_26; AOS94_28; AOS94_30; AOS94_31; AOS94_32; AOS94_33; AOS94_6; AOS94_7; AOS94_8; Arlis Plateau; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Barents abyssal plain; BC; Box corer; Chukchi Abyssal Plain; Chukchi shelf; Chukchi solpe; Lomonosov Ridge, Arctic Ocean; Mendeleev Ridge, Arctic Ocean; Mendeleev slope; North Pole; Siberia Abyssal Plain; Wrangel Abyssal Plain
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-09-19
    Keywords: ADEPD; ADEPDCruises; AOS94_1; AOS94_13; AOS94_16; AOS94_17; AOS94_19; AOS94_21; AOS94_23; AOS94_24; AOS94_25; AOS94_26; AOS94_28; AOS94_30; AOS94_31; AOS94_32; AOS94_33; AOS94_6; AOS94_7; AOS94_8; Arlis Plateau; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Barents abyssal plain; BC; Box corer; Chukchi Abyssal Plain; Chukchi shelf; Chukchi solpe; DEPTH, sediment/rock; Elevation of event; Event label; Latitude of event; Lomonosov Ridge, Arctic Ocean; Longitude of event; Mendeleev Ridge, Arctic Ocean; Mendeleev slope; Mixing, enhanced irrigation; Mixing depth; Mixing rate; Mode, grain size; North Pole; Porosity; Siberia Abyssal Plain; Wrangel Abyssal Plain
    Type: Dataset
    Format: text/tab-separated-values, 83 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-09-19
    Keywords: ADEPD; ADEPDCruises; AOS94_1; AOS94_12; AOS94_13; AOS94_16; AOS94_17; AOS94_19; AOS94_21; AOS94_23; AOS94_24; AOS94_25; AOS94_26; AOS94_28; AOS94_30; AOS94_31; AOS94_32; AOS94_33; AOS94_6; AOS94_7; AOS94_8; Arlis Plateau; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Barents abyssal plain; BC; Box corer; Chukchi Abyssal Plain; Chukchi shelf; Chukchi solpe; Counting 〉250 µm fraction; DEPTH, sediment/rock; Event label; Foraminifera, benthic; Foraminifera, benthic, biomass as carbon; Infauna; Infauna, biomass as carbon; Lomonosov Ridge, Arctic Ocean; Meiofauna, abundance of metazoa; Meiofauna, metazoa, biomass as carbon; Mendeleev Ridge, Arctic Ocean; Mendeleev slope; North Pole; Polychaeta; Polychaeta, biomass as carbon; Siberia Abyssal Plain; Wrangel Abyssal Plain
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-01-08
    Keywords: ADEPD; ADEPDCruises; AOS94_1; AOS94_12; AOS94_13; AOS94_16; AOS94_17; AOS94_19; AOS94_21; AOS94_23; AOS94_24; AOS94_25; AOS94_26; AOS94_28; AOS94_30; AOS94_31; AOS94_32; AOS94_33; AOS94_6; AOS94_7; AOS94_8; Arlis Plateau; Atlantic Data Base for Exchange Processes at the Deep Sea Floor; Barents abyssal plain; BC; Box corer; Calculated; Carbon, organic, total; Chlorophyll a, areal concentration; Chukchi Abyssal Plain; Chukchi shelf; Chukchi solpe; DEPTH, sediment/rock; Element analyser CHN, LECO; Elevation of event; Event label; Fluorometric assay of acetone extraction (GF/F filtered); Latitude of event; Lomonosov Ridge, Arctic Ocean; Longitude of event; Mendeleev Ridge, Arctic Ocean; Mendeleev slope; Mixing depth; North Pole; Phaeopigments, areal concentration; Siberia Abyssal Plain; Wrangel Abyssal Plain
    Type: Dataset
    Format: text/tab-separated-values, 134 data points
    Location Call Number Limitation Availability
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  • 5
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    The @journal of organic chemistry 44 (1979), S. 3925-3930 
    ISSN: 1520-6904
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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  • 6
    Electronic Resource
    Electronic Resource
    s.l. : American Chemical Society
    The @journal of physical chemistry 〈Washington, DC〉 35 (1931), S. 2637-2649 
    Source: ACS Legacy Archives
    Topics: Chemistry and Pharmacology , Physics
    Type of Medium: Electronic Resource
    Location Call Number Limitation Availability
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  • 7
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 73 (1993), S. 961-970 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: The processes of formation and crystallization of thin films of SrTiO3 prepared by the method of metallo-organic decomposition have been studied with particular emphasis on the relationship between the thermal decomposition of the metallo-organic precursors and the eventual epitaxial alignment of the crystallized films. The films are deposited by spin coating onto single-crystalline silicon and SrTiO3 substrates, pyrolyzed on a hot plate at temperatures ranging from 200 to 450 °C, and subsequently heat treated in a quartz tube furnace at temperatures ranging from 300 to 1200 °C. Heat treatment at temperatures up to 450–500 °C results in the evaporation of solvents and other organic addenda, thermal decomposition of the metallo-organic (primarily metal-carboxylates) precursors, and formation of a carbonate species. This carbonate appears to be an intermediate phase in the reaction of SrCO3 and TiO2 to form SrTiO3. Relevant to this work is the fact that the carbonate species exhibits diffraction lines, indicating the formation of grains that can serve as seeds for the nucleation and growth of randomly oriented SrTiO3 crystallites, thereby leading to a polycrystalline film. Deposition on silicon substrates indeed results in the formation of polycrystalline SrTiO3. However, when the precursor solution is deposited on single-crystalline SrTiO3 substrates, the crystallization process involves a competition between two mechanisms: the random nucleation and growth of crystallites just described, and layer-by-layer solid phase epitaxy. Epitaxial alignment on SrTiO3 substrates can be achieved when the samples are heat treated at temperatures of 1100–1200 °C or at temperatures as low as 600–650 °C when the substrate is heated to about 1100 °C before spin coating.
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1089-7674
    Source: AIP Digital Archive
    Topics: Physics
    Notes: The final hardware modifications for tritium operation have been completed for the Tokamak Fusion Test Reactor (TFTR) [Fusion Technol. 21, 1324 (1992)]. These activities include preparation of the tritium gas handling system, installation of additional neutron shielding, conversion of the toroidal field coil cooling system from water to a FluorinertTM system, modification of the vacuum system to handle tritium, preparation, and testing of the neutral beam system for tritium operation and a final deuterium–deuterium (D–D) run to simulate expected deuterium–tritium (D–T) operation. Testing of the tritium system with low concentration tritium has successfully begun. Simulation of trace and high power D–T experiments using D–D have been performed. The physics objectives of D–T operation are production of ≈10 MW of fusion power, evaluation of confinement, and heating in deuterium–tritium plasmas, evaluation of α-particle heating of electrons, and collective effects driven by alpha particles and testing of diagnostics for confined α particles. Experimental results and theoretical modeling in support of the D–T experiments are reviewed.
    Type of Medium: Electronic Resource
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  • 9
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Journal of Applied Physics 85 (1999), S. 6682-6685 
    ISSN: 1089-7550
    Source: AIP Digital Archive
    Topics: Physics
    Notes: We have investigated the magnetization reversal and magnetoresistance (MR) behavior of a lateral spin-injection device. The device consists of a two-dimensional electron gas (2DEG) system in an InAs quantum well and two ferromagnetic (Ni80Fe20) contacts: an injector (source) and a detector (drain). Spin-polarized electrons are injected from the first contact and propagating through InAs are collected by the second contact. By engineering the shape of the permalloy film distinct switching fields (Hc) from the injector and the collector have been observed by scanning Kerr microscopy and MR measurements. Magneto-optic Kerr effect (MOKE) hysteresis loops demonstrate that there is a range of magnetic field (20–60 Oe), at room temperature, over which magnetization in one contact is aligned antiparallel to that in the other. The MOKE results are consistent with the variation of the magnetoresistance in the spin-injection device. © 1999 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 10
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: This project developed an automated controller based on an artificial neural network and evaluated its applicability in a real-time environment. This capability was developed within the context of a small angle negative ion source on the Discharge Test Stand at Los Alamos. The controller processes information obtained from the beam current wave form, developing a figure of merit (fom) to determine the ion source operating conditions. The fom is composed of the magnitude of the beam current, the stability of operation, and the quietness of the beam. Using no knowledge of operating conditions, the controller begins by making of rough scan of the four-dimensional operating surface. This surface uses as independent variables the anode and cathode temperatures, the hydrogen flow rate, and the arc voltage. The dependent variable is the fom described above. Once the rough approximation of the surface has been determined, the network formulates a model from which it determines the best operating point. The controller takes the ion source to that operating point for a reality check. As real data is fed in, the model of the operating surface is updated until the neural network's model agrees with reality. The controller then uses a gradient ascent method to optimize the operation of the ion source. Initial tests of the controller indicate that it is remarkably capable. It has optimized the operation of the ion source on six different occasions bringing the beam to excellent quality and stability.
    Type of Medium: Electronic Resource
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